docs: def parse_coach_go(infile):
      """Parse a GO output file from COACH and return a rank-ordered list of GO term predictions
  
      The columns in all files are: GO terms, Confidence score, Name of GO terms. The files are:
          
          - GO_MF.dat - GO terms in 'molecular function'
          - GO_BP.dat - GO terms in 'biological process'
          - GO_CC.dat - GO terms in 'cellular component'
  
      Args:
          infile (str): Path to any COACH GO prediction file
  
      Returns:
          Pandas DataFrame: Organized dataframe of results, columns defined below
              
              - ``go_id``: GO term ID
              - ``go_term``: GO term text
              - ``c_score``: confidence score of the GO prediction
  
      """
      go_list = []
  
      with open(infile) as go_file:
          for line in go_file.readlines():
              go_dict = {}
  
              go_split = line.split()
              go_dict['go_id'] = go_split[0]
              go_dict['c_score'] = go_split[1]
              go_dict['go_term'] = ' '.join(go_split[2:])
  
              go_list.append(go_dict)
  
      return go_list